This is MadNLP version v0.12.0, running with cuDSS v1.0.0 Number of nonzeros in constraint Jacobian............: 300004 Number of nonzeros in Lagrangian Hessian.............: 400000 Total number of variables............................: 100002 variables with only lower bounds: 0 variables with lower and upper bounds: 0 variables with only upper bounds: 0 Total number of equality constraints.................: 100002 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 0 0.0000000e+00 3.33e+04 0.00e+00 0.00e+00 -1.0 - 0.00e+00 0 0 1 0.0000000e+00 9.87e+03 0.00e+00 0.00e+00 -1.0 - 1.00e+00 1 1h 2 0.0000000e+00 2.92e+03 0.00e+00 0.00e+00 -1.0 - 1.00e+00 1 1h 3 0.0000000e+00 8.66e+02 0.00e+00 0.00e+00 -1.0 - 1.00e+00 1 1h 4 0.0000000e+00 2.57e+02 0.00e+00 0.00e+00 -1.0 - 1.00e+00 1 1h 5 0.0000000e+00 7.60e+01 0.00e+00 0.00e+00 -1.0 - 1.00e+00 1 1h 6 0.0000000e+00 2.25e+01 0.00e+00 0.00e+00 -1.0 - 1.00e+00 1 1h 7 0.0000000e+00 6.68e+00 0.00e+00 0.00e+00 -1.0 - 1.00e+00 1 1h 8 0.0000000e+00 1.98e+00 0.00e+00 0.00e+00 -1.0 - 1.00e+00 1 1h 9 0.0000000e+00 5.86e-01 0.00e+00 0.00e+00 -1.0 - 1.00e+00 1 1h iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 0.0000000e+00 1.74e-01 0.00e+00 0.00e+00 -1.7 - 1.00e+00 1 1h 11 0.0000000e+00 5.14e-02 0.00e+00 0.00e+00 -2.5 - 1.00e+00 1 1h 12 0.0000000e+00 1.52e-02 0.00e+00 0.00e+00 -2.5 - 1.00e+00 1 1h 13 0.0000000e+00 4.51e-03 0.00e+00 0.00e+00 -3.8 - 1.00e+00 1 1h 14 0.0000000e+00 1.33e-03 0.00e+00 0.00e+00 -3.8 - 1.00e+00 1 1h 15 0.0000000e+00 3.91e-04 0.00e+00 0.00e+00 -5.7 - 1.00e+00 1 1h 16 0.0000000e+00 1.13e-04 0.00e+00 0.00e+00 -5.7 - 1.00e+00 1 1h 17 0.0000000e+00 3.16e-05 0.00e+00 0.00e+00 -5.7 - 1.00e+00 1 1h 18 0.0000000e+00 7.91e-06 0.00e+00 0.00e+00 -5.7 - 1.00e+00 1 1h 19 0.0000000e+00 1.41e-06 0.00e+00 0.00e+00 -8.6 - 1.00e+00 1 1h iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 20 0.0000000e+00 9.24e-08 0.00e+00 0.00e+00 -8.6 - 1.00e+00 1 1h 21 0.0000000e+00 5.03e-10 0.00e+00 0.00e+00 -8.6 - 1.00e+00 1 1h Number of Iterations....: 21 (scaled) (unscaled) Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 5.0270511314417146e-10 5.0270511314417146e-10 Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00 Overall NLP error.......: 5.0270511314417146e-10 5.0270511314417146e-10 Number of objective function evaluations = 22 Number of objective gradient evaluations = 22 Number of constraint evaluations = 22 Number of constraint Jacobian evaluations = 22 Number of Lagrangian Hessian evaluations = 21 Number of KKT factorizations = 22 Number of KKT backsolves = 21 Total wall secs in initialization = 0.018 s Total wall secs in linear solver = 0.451 s Total wall secs in NLP function evaluations = 0.005 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.034 s Total wall secs = 0.508 s EXIT: Optimal Solution Found (tol = 1.0e-08).